The Central Limit Theorem for mth-Order Nonhomogeneous Markov Information Source
Author
Source
Journal of Probability and Statistics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We prove a central limit theorem for mth-order nonhomogeneous Markov information source by using the martingale central limit theorem under the condition of convergence of transition probability matrices for nonhomogeneous Markov chain in Cesàro sense.
American Psychological Association (APA)
Huang, Huilin. 2013. The Central Limit Theorem for mth-Order Nonhomogeneous Markov Information Source. Journal of Probability and Statistics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-487752
Modern Language Association (MLA)
Huang, Huilin. The Central Limit Theorem for mth-Order Nonhomogeneous Markov Information Source. Journal of Probability and Statistics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-487752
American Medical Association (AMA)
Huang, Huilin. The Central Limit Theorem for mth-Order Nonhomogeneous Markov Information Source. Journal of Probability and Statistics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-487752
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487752
